{"id":"W1783806417","doi":"10.24908/pceea.v0i0.5808","title":"ENGINEERING GRADUATE ATTRIBUTES EXHIBITED BY HIGH SCHOOL STUDENTS","year":2015,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Selection (genetic algorithm); Engineering education; Work (physics); Mathematics education; Psychology; Graduate students; Computer science; Knowledge management; Engineering; Pedagogy; Engineering management; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001388466,0.0001364774,0.0002545769,0.001395906,0.001489588,0.002343805,0.0003209579,0.0006015515,0.001469724],"category_scores_gemma":[0.006685047,0.0001348991,0.000199341,0.0009074001,0.001534,0.0005552224,0.002069741,0.0009994222,0.0002785542],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009002528,"about_ca_system_score_gemma":0.0007187147,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003511567,"about_ca_topic_score_gemma":0.007696211,"domain_scores_codex":[0.9989406,0.000262264,0.00005915208,0.0001243083,0.0003716093,0.0002419624],"domain_scores_gemma":[0.994774,0.001418999,0.0009895768,0.0002495879,0.001000686,0.001567209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001464887,0.0003488077,0.7652501,0.0000688728,0.00001739641,0.0006691573,0.1965276,0.0001418122,0.009725727,0.001441315,0.001083976,0.02457878],"study_design_scores_gemma":[0.00000560921,0.0003541138,0.601922,0.00004394852,0.000009796479,0.0007453999,0.3878188,0.0002462815,0.001478667,0.0007200686,0.006608039,0.00004729096],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988309,0.00001866194,0.00006386117,0.00005899134,0.000002322585,0.000003713488,0.000009364065,0.000001983309,0.001010132],"genre_scores_gemma":[0.9991031,0.0000324563,0.00006524279,0.00003765754,0.0000025636,0.000005172105,0.00002242264,0.000001746919,0.0007295727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9990997,"threshold_uncertainty_score":0.007342994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020566122275413,"score_gpt":0.2053002339378035,"score_spread":0.1950945727150494,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}